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Volume 42 Issue 5
May  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(5): 1065-1070.
ZHANG Yaotian, ZHANG Xucheng, JIA Mingshun, et al. Adaptive evaluation method based on analytic hierarchy process[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 1065-1070. doi: 10.13700/j.bh.1001-5965.2016.0224(in Chinese)
Citation: ZHANG Yaotian, ZHANG Xucheng, JIA Mingshun, et al. Adaptive evaluation method based on analytic hierarchy process[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 1065-1070. doi: 10.13700/j.bh.1001-5965.2016.0224(in Chinese)
shu

Adaptive evaluation method based on analytic hierarchy process

doi: 10.13700/j.bh.1001-5965.2016.0224
  • 1.

    School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

  • Received Date: 22 Jan 2016
  • Publish Date: 20 May 2016
    Abstract
  • In order to improve the performance of classical analytic hierarchy process (AHP) which has defects of subjectivity and less quantitative component, at the same time according to the objective information which is implied by a plurality of target data matrix, the classical AHP was modified and a changeable weight evaluation method based on AHP was proposed. The conclusion is that the new method is able to adjust the weights of the evaluative parameter dynamically by analysis of the data distribution. By this way the weight of low discrimination index is reduced while the weight of high discrimination index is improved, which makes the AHP more objective, and to some extent the guiding role of the scarcity index is also reflected. The effectiveness of the new method is verified by using the example of the evaluation of the despeckling algorithm of synthetic aperture radar image.

     

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